Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for performing an operation on at least two die in a storage device, comprising: choosing a storage device operation to perform on the storage device; estimating which die of the at least two die in the storage device will be idle to perform the operation upon, wherein the estimating is performed by a scheduler configured to interact with a die translation table and perform at least one calculation based on two or more of: an amount of dies in the storage device, a die page size of the at least two die, a first physical based address in a physical die page of a first die of the at least two die, a corresponding die number of the first die, and an estimated physical block address of a command in a queue depth; and performing the operation at each of the at least two die based on the estimating.
2. The method according to claim 1 , wherein the storage device operation is a write operation.
A system and method for optimizing storage device operations, particularly focusing on write operations, to improve performance and efficiency. The invention addresses the challenge of managing storage device operations in computing systems, where inefficient handling of write operations can lead to bottlenecks, reduced throughput, and increased latency. The method involves monitoring and analyzing storage device operations to identify inefficiencies and dynamically adjusting parameters to optimize performance. Specifically, for write operations, the system detects patterns or conditions that may degrade performance, such as excessive latency or resource contention, and applies corrective measures like load balancing, caching, or prioritization to mitigate these issues. The optimization process may involve real-time adjustments based on current system conditions or predictive algorithms to anticipate and prevent performance degradation. By dynamically adapting to varying workloads and storage device characteristics, the method ensures efficient and reliable write operations, enhancing overall system performance. The invention is applicable to various storage devices, including solid-state drives (SSDs), hard disk drives (HDDs), and hybrid storage systems, and can be integrated into storage controllers, operating systems, or dedicated optimization software.
3. The method according to claim 1 , wherein the storage device is a solid state drive.
A method for data storage and retrieval involves using a solid state drive (SSD) to enhance performance and reliability. The SSD is configured to store data in a manner that optimizes access speed and minimizes wear on storage cells. The method includes writing data to the SSD in a distributed manner to balance usage across storage cells, reducing the likelihood of premature failure due to uneven wear. Additionally, the method employs error correction techniques to detect and correct data corruption, ensuring data integrity over time. The SSD may also include a controller that manages data placement, wear leveling, and error handling to maintain optimal performance. By using an SSD, the method leverages the high-speed, non-volatile nature of flash memory, providing faster read and write operations compared to traditional hard disk drives. The method is particularly useful in applications requiring high-speed data access, such as enterprise storage systems, data centers, and high-performance computing environments. The SSD's lack of moving parts also enhances reliability and durability, making it suitable for environments with frequent vibrations or physical shocks. The method may further include predictive maintenance features, such as monitoring storage cell health and proactively redistributing data to healthier cells. This ensures long-term reliability and extends the SSD's lifespan.
4. The method according to claim 1 , wherein the die translation table is a flash management translation table.
A system and method for managing data storage in a memory device, particularly addressing the challenge of efficiently translating logical addresses to physical addresses in non-volatile memory systems. The invention involves a die translation table that dynamically maps logical addresses to physical addresses across multiple memory dies, optimizing data access and wear leveling. This table is specifically implemented as a flash management translation table, which is optimized for flash memory operations, including read, write, and erase cycles. The table is structured to handle address translations at the die level, ensuring that data is distributed evenly across the memory dies to prolong the lifespan of the memory device. The system further includes mechanisms for updating the translation table in response to changes in the memory state, such as wear leveling operations or data migration between dies. By using a dedicated flash management translation table, the system improves performance and reliability in flash memory storage by reducing latency in address translation and minimizing wear on individual memory cells. The method ensures efficient data management by dynamically adjusting the translation table to reflect the current state of the memory, thereby maintaining optimal performance and longevity of the storage device.
5. The method according to claim 1 , further comprising: scheduling the operation to perform at each die based upon a round robin method.
This invention relates to semiconductor manufacturing, specifically to methods for performing operations on multiple dies in a wafer. The problem addressed is efficiently managing and scheduling operations across dies to ensure balanced workload distribution and avoid bottlenecks. The method involves performing an operation on each die in a wafer, where the operation may include testing, programming, or other processing steps. To optimize scheduling, the method uses a round-robin approach to assign operations to dies. This ensures that each die receives attention in a sequential, rotating order, preventing any single die from monopolizing resources or causing delays. The round-robin scheduling method distributes operations evenly, improving throughput and reducing idle time. The method may also include determining a sequence of operations for each die, where the sequence is tailored to the specific requirements of the die or the overall manufacturing process. By integrating round-robin scheduling, the method enhances efficiency in semiconductor fabrication by balancing workloads and minimizing downtime. This approach is particularly useful in high-volume manufacturing environments where consistent performance and resource utilization are critical.
6. The method according to claim 1 , further comprising: scheduling the operation to perform at a die based upon a die availability method.
This invention relates to semiconductor manufacturing, specifically to optimizing the scheduling of operations in a semiconductor fabrication process. The problem addressed is the inefficient allocation of resources in semiconductor manufacturing, where operations are not optimally scheduled based on the availability of individual dies, leading to delays and reduced throughput. The method involves performing an operation on a semiconductor die, where the operation is part of a semiconductor fabrication process. The operation may include processes such as etching, deposition, or lithography, which are critical steps in semiconductor manufacturing. The method further includes scheduling the operation to be performed on a specific die based on a die availability method. This scheduling ensures that the operation is executed only when the die is available, preventing conflicts and improving resource utilization. The die availability method determines the readiness of a die for the operation by assessing factors such as prior process completion, tool readiness, and any dependencies between operations. By dynamically scheduling operations based on die availability, the method enhances efficiency in semiconductor fabrication, reducing idle time and improving overall production throughput. This approach is particularly useful in high-volume manufacturing environments where precise timing and resource allocation are critical.
7. The method according to claim 6 , wherein the scheduling the operation to perform at the die based upon the die availability method uses a ready to execute die queue.
A system and method for optimizing task scheduling in a multi-die processing environment addresses inefficiencies in workload distribution across multiple dies, particularly in scenarios where dies have varying availability and performance characteristics. The method involves dynamically assigning operations to dies based on their current availability, ensuring that tasks are executed on the most suitable die to maximize throughput and minimize latency. A key aspect of this method is the use of a ready-to-execute die queue, which maintains a prioritized list of dies that are available to process tasks. The queue dynamically updates based on die status, workload demands, and performance metrics, allowing the system to efficiently allocate operations to the most appropriate die at any given time. This approach improves resource utilization, reduces idle time, and enhances overall system performance by ensuring that tasks are executed on the most optimal die available. The method is particularly useful in high-performance computing environments where efficient task scheduling is critical for maintaining system efficiency and responsiveness.
8. The method according to claim 7 , wherein the die availability method is performed in a just in time approach.
A method for optimizing die availability in semiconductor manufacturing involves dynamically adjusting die production based on real-time demand and supply data. The method monitors current die inventory levels, production capacity, and customer orders to predict future die requirements. It then adjusts production schedules, tooling, and process parameters to ensure sufficient die availability while minimizing excess inventory. The adjustments are made in a just-in-time approach, meaning production is aligned closely with actual demand to reduce waste and improve efficiency. This method may also include analyzing historical data to refine predictions and optimize resource allocation. The goal is to balance supply and demand, reducing lead times and costs while maintaining high production flexibility. The method can be applied to various semiconductor manufacturing stages, including wafer fabrication, packaging, and testing, to ensure timely delivery of dies to customers.
9. The method according to claim 1 , wherein the storage device operation is a read operation.
A method for optimizing storage device operations, particularly read operations, in a computing system. The method involves monitoring the performance of a storage device, such as a hard disk drive or solid-state drive, to detect inefficiencies or bottlenecks during data retrieval. When a read operation is identified as suboptimal, the method dynamically adjusts one or more operational parameters of the storage device to improve performance. These adjustments may include modifying read latency thresholds, altering data access patterns, or reconfiguring caching mechanisms to reduce delays. The method may also involve predictive analysis to anticipate future read operation demands and preemptively optimize storage device behavior. By dynamically adapting to changing workload conditions, the method ensures efficient and timely data retrieval, enhancing overall system performance. The technique is particularly useful in environments where storage device performance directly impacts application responsiveness, such as in data centers, enterprise servers, or high-performance computing systems. The method may be implemented in firmware, software, or a combination of both, and can be applied to various storage device types, including magnetic, optical, or flash-based storage.
10. The method according to claim 1 , wherein the storage device operation is a non-volatile memory operation.
A method for optimizing storage device operations, particularly focusing on non-volatile memory (NVM) operations, addresses inefficiencies in data management and performance bottlenecks in storage systems. The method involves monitoring and analyzing storage device operations to identify performance issues, such as latency or throughput degradation, and dynamically adjusting operational parameters to mitigate these issues. This includes techniques like wear leveling, garbage collection, and adaptive read/write strategies to extend the lifespan of the storage device and improve overall performance. The method may also incorporate predictive analytics to anticipate and preemptively address potential failures or performance drops. By specifically targeting non-volatile memory operations, the method ensures reliable and efficient data handling in systems where data persistence and durability are critical, such as solid-state drives (SSDs) and flash-based storage. The approach enhances both the longevity and responsiveness of storage devices, making it suitable for applications requiring high-speed data access and long-term data retention.
11. The method according to claim 10 , wherein the non-volatile memory operation is a flash memory operation.
This invention relates to methods for performing non-volatile memory operations, specifically flash memory operations, in a computing system. The technology addresses the challenge of efficiently managing and executing operations in non-volatile memory, particularly flash memory, which is widely used in storage devices due to its high density and low power consumption. The method involves optimizing the execution of memory operations to improve performance, reliability, or resource utilization. The method includes determining a set of memory addresses associated with a non-volatile memory operation, such as a read, write, or erase operation. It then identifies a subset of these addresses that can be processed in parallel to reduce latency or improve throughput. The method further involves executing the memory operation on the identified subset of addresses while managing system resources, such as bandwidth or power, to ensure efficient operation. Additionally, the method may include error detection and correction mechanisms to handle potential data integrity issues during the memory operation. For flash memory operations, the method may involve specific techniques tailored to the characteristics of flash memory, such as wear leveling, garbage collection, or error correction coding (ECC). These techniques help extend the lifespan of the memory and maintain data reliability. The method may also include dynamically adjusting parameters, such as voltage levels or timing, to optimize performance under varying operating conditions. By efficiently managing memory operations, the invention aims to enhance the overall performance and reliability of non-volatile memory systems, particularly in flash memory applications.
12. The method according to claim 11 , wherein the flash memory operation is a NAND flash memory operation.
The invention relates to methods for managing operations in flash memory systems, specifically addressing challenges in optimizing performance and reliability during data storage and retrieval. The method involves performing a flash memory operation, such as reading, writing, or erasing data, while dynamically adjusting parameters to enhance efficiency and durability. This includes monitoring operational conditions, such as wear level, error rates, or environmental factors, and modifying the operation accordingly. For example, the method may adjust voltage levels, timing sequences, or error correction techniques to mitigate degradation over time. The invention is particularly applied to NAND flash memory, which is widely used in solid-state storage devices due to its high density and cost-effectiveness. However, NAND flash suffers from limitations like limited write/erase cycles and increasing error rates as cells wear out. The disclosed method aims to extend the lifespan of NAND flash memory by intelligently adapting operations based on real-time conditions. This may involve selecting optimal programming algorithms, adjusting read thresholds, or implementing adaptive error correction to maintain data integrity. The method ensures reliable performance while minimizing resource consumption, making it suitable for applications requiring long-term storage, such as enterprise SSDs or embedded systems. By dynamically responding to operational changes, the invention improves both the endurance and reliability of NAND flash memory systems.
13. The method according to claim 1 , wherein the at least one calculation is further based on one or more of a value on entry, a value of best entry, a value of distance, and a value of best distance.
This invention relates to a method for optimizing calculations in a data processing system, particularly for improving efficiency in decision-making or search algorithms. The method addresses the problem of computational inefficiency in systems that rely on repeated calculations of values, such as entry values, best entry values, distances, and best distances, which can slow down performance. The method involves performing at least one calculation based on one or more of these values to enhance accuracy or speed. The calculations may include determining the best entry from a set of entries, measuring distances between data points, or evaluating the best distance among multiple distance measurements. By incorporating these values into the calculation process, the method reduces redundant computations and improves overall system efficiency. The method can be applied in various domains, such as machine learning, data retrieval, or optimization algorithms, where minimizing computational overhead is critical. The use of entry values, best entry values, distances, and best distances allows the system to make more informed decisions while reducing the number of operations required. This approach ensures faster processing times and better resource utilization in data-intensive applications.
14. A method for performing a storage device operation on at least two die in a storage device, comprising: choosing a set of storage device operations to perform; estimating which die of the at least two die is to perform each of the storage device operations based on a scheduler, a die translation table, and at least one calculation such that none of the at least two die are idle, wherein the at least one calculation is based on two or more of an amount of dies in the storage device, a die page size of the at least two die, a first physical based address in a physical die page of a first die of the at least two die, a corresponding die number of the first die, and an estimated physical block address of a command in a queue depth; reordering the set of storage device operations to perform based upon the estimating; and performing each of the set of storage device operations to perform based upon the reordering.
This invention relates to optimizing storage device operations across multiple dies in a solid-state storage system. The problem addressed is inefficient resource utilization, where some dies remain idle while others are overburdened, leading to performance bottlenecks. The solution involves a method for dynamically distributing storage operations across multiple dies to minimize idle time and maximize throughput. The method begins by selecting a set of storage operations to perform. A scheduler, in conjunction with a die translation table and various calculations, determines which die should handle each operation. The calculations consider factors such as the number of dies in the storage device, the page size of each die, the physical address of a command in a die's page, the die's identifier, and the estimated physical block address of commands in the operation queue. This ensures that operations are distributed evenly, preventing any die from being idle while others are busy. The operations are then reordered based on this distribution logic, and the reordered operations are executed accordingly. By dynamically balancing the workload across dies, the method improves overall storage performance and efficiency. This approach is particularly useful in high-performance storage systems where minimizing latency and maximizing throughput are critical.
15. The method according to claim 14 , wherein the performing each of the set of storage device operations includes sending data to a die when the die is scheduled to be idle.
A method for optimizing storage device operations involves managing data transfers to storage devices, particularly solid-state drives (SSDs), to improve efficiency and reduce latency. The method addresses the problem of inefficient data handling in storage systems, where conventional approaches may lead to unnecessary delays or resource contention. The technique focuses on scheduling storage device operations, such as read or write operations, to minimize disruptions and maximize throughput. The method includes performing a set of storage device operations, where each operation is executed based on a scheduling mechanism that accounts for the operational state of the storage device. Specifically, the method ensures that data is sent to a die (a memory component within the storage device) only when the die is scheduled to be idle. This approach prevents conflicts with other ongoing operations, reduces wear on the storage device, and enhances overall system performance. The scheduling mechanism may involve monitoring the die's status, predicting idle periods, and dynamically adjusting operation timings to align with these idle windows. By coordinating data transfers with the die's idle periods, the method avoids overloading the storage device and ensures smoother operation. This technique is particularly useful in high-performance storage systems where minimizing latency and maximizing efficiency are critical. The method can be applied to various storage devices, including SSDs, to improve their reliability and performance.
16. The method according to claim 14 , wherein the performing each of the set of storage device operations includes waiting to send data to a die when the die is scheduled to not be idle.
A method for optimizing data storage operations in a solid-state storage system addresses inefficiencies in managing data transfers to storage dies. The system includes multiple storage dies, each capable of performing independent read and write operations. The method involves monitoring the operational state of each die to determine when it is idle or busy. When a storage operation (e.g., a write or read command) is initiated, the system checks the status of the target die. If the die is not idle (i.e., it is currently processing another operation), the system delays sending data to that die until it becomes idle. This prevents data collisions and ensures efficient resource utilization by avoiding unnecessary contention. The method may also include prioritizing operations based on factors such as urgency or die availability, further improving throughput and reducing latency. The approach is particularly useful in high-performance storage systems where minimizing idle time and maximizing parallelism are critical.
17. The method according to claim 14 , wherein a chosen storage device operation is a read operation.
A method for optimizing storage device operations, particularly read operations, in a computing system. The method involves monitoring the performance of a storage device to detect performance degradation, such as increased latency or reduced throughput. When degradation is detected, the system analyzes the storage device's operational state, including factors like wear level, error rates, and workload characteristics. Based on this analysis, the system selects an optimized read operation strategy to mitigate the degradation. This may include adjusting read parameters, such as voltage levels, timing, or error correction techniques, to improve data retrieval efficiency. The method dynamically adapts the read operation strategy in real-time to maintain optimal performance under varying conditions. The system may also log performance data for future reference and further optimization. This approach ensures reliable and efficient data access, particularly in storage devices prone to performance fluctuations due to wear or environmental factors. The method is applicable to solid-state drives (SSDs), hard disk drives (HDDs), and other storage technologies where read performance is critical.
18. The method according to claim 14 , wherein the at least one calculation is further based on one or more of a value on entry, a value of best entry, a value of distance, and a value of best distance.
This invention relates to a method for optimizing data processing in a system, particularly for improving decision-making or performance evaluation by incorporating additional factors into calculations. The method involves performing at least one calculation to determine an outcome, such as selecting an optimal entry, evaluating performance, or making a decision. The calculation is based on one or more of the following values: a value on entry, a value of the best entry, a value of distance, and a value of the best distance. The value on entry may represent a metric or parameter associated with a specific data entry being evaluated. The value of the best entry refers to a metric or parameter associated with the highest-performing or most optimal entry identified in the system. The value of distance measures the deviation or difference between the current entry and a reference point, while the value of the best distance measures the deviation or difference between the best entry and the same reference point. By incorporating these values, the method enhances the accuracy and reliability of the calculations, leading to improved decision-making or performance optimization in the system. The method is applicable in various fields, including data analysis, machine learning, and automated decision systems.
19. The method according to claim 14 , wherein the storage device is a solid state drive or a NAND flash arrangement.
A method for managing data storage in a solid-state drive (SSD) or NAND flash memory system addresses the challenge of optimizing performance and reliability in non-volatile memory storage. The method involves monitoring the operational state of the storage device, including factors such as wear level, error rates, and performance metrics, to determine when to adjust storage parameters. The system dynamically modifies storage operations, such as read/write strategies, error correction techniques, or data placement, based on the monitored conditions. This adaptive approach ensures efficient data handling while extending the lifespan of the storage medium. The method is particularly suited for SSDs and NAND flash arrangements, where wear leveling and error management are critical due to the limited write/erase cycles of flash memory cells. By continuously assessing device health and adjusting operations accordingly, the method improves durability, reduces latency, and maintains data integrity in high-demand storage environments. The solution is applicable to consumer electronics, enterprise storage systems, and embedded devices relying on flash-based storage.
20. The method according to claim 14 , wherein the die translation table is a flash management translation table.
A system and method for managing data storage in a memory device, particularly in flash memory, addresses the challenge of efficiently translating logical addresses to physical addresses while optimizing performance and endurance. The invention involves a die translation table that maps logical addresses to physical addresses across multiple memory dies, enabling efficient data placement and retrieval. This table is specifically designed as a flash management translation table, which dynamically updates to reflect changes in data storage locations due to wear leveling, garbage collection, or other flash memory management operations. The system includes a controller that accesses the die translation table to determine the physical location of data corresponding to a given logical address, ensuring accurate and timely data access. The table is periodically updated to maintain consistency and accuracy, improving overall system reliability and performance. The method further includes mechanisms for handling errors and ensuring data integrity during address translation, such as error correction and validation checks. This approach enhances the efficiency of flash memory operations, reduces latency, and extends the lifespan of the memory device by optimizing data distribution and minimizing wear on specific memory cells. The invention is particularly useful in solid-state drives and other flash-based storage systems where efficient address translation is critical for performance and durability.
21. A method for performing one of a write operation and a read operation in a memory arrangement, comprising: receiving a request from a host to perform one of the write operation and the read operation in the memory arrangement; choosing, through a memory arrangement controller, one of the write operation and the read operation to perform; sending data to a die of the memory arrangement to perform the one of the write operation and the read operation, wherein the sending of the data is performed by a scheduler configured to interact with a die translation table to estimate an idle die, wherein estimating the idle die comprises performing at least one calculation based on two or more of an amount of dies in the membory arrangement, a die page size of the at least two die, a first physical based address in a physical die page of a first die of the at least two die, a corresponding die number of the first die, and an estimated physical block address of a command in a queue depth; and performing the one of the write operation and the read operation at the die of the memory management based on the die translation table.
This invention relates to optimizing memory operations in a memory arrangement, particularly for improving efficiency in write and read operations. The problem addressed is the need to efficiently manage and schedule operations across multiple memory dies to minimize latency and maximize throughput. The solution involves a method for performing write or read operations in a memory arrangement by intelligently selecting an idle die to execute the operation, thereby reducing contention and improving performance. The method begins by receiving a request from a host to perform either a write or read operation in the memory arrangement. A memory arrangement controller then selects which operation to perform. Data is sent to a die in the memory arrangement to execute the chosen operation. A scheduler interacts with a die translation table to estimate an idle die for the operation. The estimation process involves calculations based on multiple factors, including the number of dies in the memory arrangement, the die page size of at least two dies, the first physical-based address in a physical die page of a first die, the corresponding die number of the first die, and the estimated physical block address of a command in the queue depth. The operation is then performed at the selected die based on the die translation table. This approach ensures efficient die selection and reduces operational bottlenecks in memory systems.
22. The method according to claim 21 , wherein the memory arrangement is a solid state drive.
A method for data storage and retrieval involves managing data in a memory arrangement, specifically a solid-state drive (SSD). The SSD is configured to store data in a manner that optimizes performance, reliability, and efficiency. The method includes organizing data into logical blocks, where each block is associated with a unique identifier for tracking and retrieval. The SSD may employ wear-leveling techniques to distribute write operations evenly across memory cells, extending the drive's lifespan. Additionally, the method may incorporate error correction mechanisms to detect and correct data corruption, ensuring data integrity. The SSD may also support multiple interfaces for data transfer, such as SATA, NVMe, or PCIe, allowing compatibility with various computing systems. The method further includes monitoring the SSD's health and performance metrics, such as read/write speeds, error rates, and remaining lifespan, to proactively manage storage operations. The SSD may also implement encryption to secure sensitive data, preventing unauthorized access. The method ensures efficient data management by dynamically adjusting storage parameters based on usage patterns and environmental conditions. This approach enhances the SSD's overall performance, durability, and security in various computing applications.
23. The method according to claim 21 , wherein the memory arrangement is a NAND flash arrangement.
A method for managing data storage in a NAND flash memory arrangement addresses the challenge of efficiently storing and retrieving data in non-volatile memory systems. The method involves organizing data into logical blocks and physical blocks, where logical blocks represent user-accessible data units while physical blocks correspond to the actual storage locations in the NAND flash memory. The method includes mapping logical blocks to physical blocks to optimize storage efficiency and performance. This mapping allows for wear leveling, error correction, and garbage collection, ensuring the longevity and reliability of the NAND flash memory. The method also handles data writes, reads, and erasures, ensuring that operations are performed efficiently while maintaining data integrity. By using a NAND flash arrangement, the method leverages the high-density, low-power characteristics of NAND flash memory, making it suitable for applications requiring compact and durable storage solutions. The method may also include techniques for managing bad blocks, error detection, and correction to enhance the overall reliability of the storage system. This approach is particularly useful in solid-state drives (SSDs), memory cards, and other embedded storage systems where efficient data management is critical.
24. The method according to claim 21 , wherein the die translation table is a flash management translation table.
A method for managing data storage in a memory system involves using a die translation table to map logical addresses to physical addresses across multiple memory dies. The die translation table is specifically a flash management translation table, which is optimized for handling the unique characteristics of flash memory, such as wear leveling, bad block management, and garbage collection. This table dynamically tracks the physical locations of data within the memory system, ensuring efficient data retrieval and storage operations. The method includes updating the die translation table in response to changes in the physical storage locations of data, such as during write or erase operations, to maintain accurate address mappings. By using a flash management translation table, the system can improve performance, reliability, and endurance of the flash memory by optimizing how data is distributed and managed across the memory dies. This approach is particularly useful in solid-state storage devices where efficient address translation is critical for maintaining performance and longevity.
25. The method according to claim 21 , wherein the at least one calculation is further based on one or more of a value on entry, a value of best entry, a value of distance, and a value of best distance.
This invention relates to a method for optimizing data processing in a system, particularly for improving decision-making or performance evaluation by incorporating additional metrics. The method enhances a base calculation process by integrating supplementary values to refine outcomes. Specifically, the method uses one or more of the following values to adjust calculations: a value on entry, which represents an initial or input parameter; a value of best entry, which denotes the optimal or highest-quality input parameter identified; a value of distance, which measures the deviation or separation between current and target states; and a value of best distance, which indicates the smallest or most favorable deviation observed. These values are used to refine calculations, enabling more accurate or efficient decision-making, performance assessment, or system adjustments. The method is applicable in various domains, such as data analysis, machine learning, or control systems, where precise calculations are critical for achieving desired outcomes. By incorporating these additional metrics, the method improves the reliability and effectiveness of the underlying process.
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July 14, 2020
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